docs(ai): record AI and clipboard semantics updates

- Document the smart reply center, clipboard semantic v6 specialization,
  personal style generation fix, and durable Apple account session
  work in both English and Simplified Chinese.
- Update clipboard semantics README and open-training sources to
  reflect the v6 boundary, blessing, and consensus-adjudication
  corpora that the new release-gate pipeline consumes.

CHANGELOG.md

@@ -14,6 +14,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - **Expanded clipboard semantics**: add fully local bilingual models for schedule negotiation, confirmed decisions, and follow-up reminders, with language-specific confidence thresholds, existing-skill routing, and reproducible random holdout evaluation. / **扩展剪贴板语义**：新增完全本地的中英双语日程协商、确认决策与跟进提醒模型，并加入分语言置信度阈值、现有技能路由及可复现的随机留出评估。
 
 ### Changed
+- **Smart reply center**: merge invitation, task, blessing, clarification, and empathy actions into Reply; local scene detection now offers three fixed, clearly labeled decisions whenever user intent must not be guessed, while ordinary chats retain optional tone choices. / **智能回复中心**：将邀约、任务、祝福、澄清与共情操作统一到“回复”；本地场景识别会在不可替用户猜测意图时始终提供三种固定且清晰标注的立场，普通聊天则继续使用可选的语气候选。
 - **Clipboard intent precision**: specialize the local task and complaint models, add conservative language thresholds, and suppress complaint-only text from task routing unless it contains an explicit assignment. / **剪贴板意图精度**：专项优化本地任务与投诉模型，加入保守的分语言阈值，并在没有明确委派时阻止纯投诉文本进入任务路由。
 - **Precision-first semantic routing**: add traceable multi-model consensus labels, local joint intent verifiers, confidence-margin abstention, layered source-isolated evaluation, and privacy-safe shadow disagreement counters while retaining current models until every acceptance gate passes. / **精度优先语义路由**：新增可追溯多模型共识银标、本地联合意图验证器、置信度与差值拒识、按来源隔离的分层评估及隐私安全的影子分歧计数；所有验收门槛通过前继续保留当前模型。
 - **Iterative semantic research**: add reproducible twenty-round weakly supervised model selection, high-confidence self-training consensus, per-intent fine-tuning, explicit-evidence experiments, frozen-overlap gates, and macOS replay manifests; retain deployed models when every candidate underperforms release baselines. / **迭代语义研究**：新增可复现的二十轮弱监督模型选择、高置信自训练共识、分意图微调、显式证据实验、冻结集重叠门禁及 macOS 重放清单；所有候选低于发布基线时继续保留现有部署模型。
@@ -24,6 +25,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - **Personal style threshold**: allow generating a learned speaking style after 2,500 effective dictation characters instead of 5,000. / **专属风格门槛**：生成学习型说话风格所需的有效听写字符由 5,000 降至 2,500。
 
 ### Fixed
+- **Personal style generation**: derive every reviewed prompt through two-stage corpus evidence, apply concrete low-confidence ASR tendencies instead of replacing them with a neutral template, recover wrapped model JSON once, keep one provider configuration and a 45-second budget across both stages, and distinguish cancellation from timeout. / **专属风格生成**：每个待审阅 Prompt 均通过两阶段语料证据生成，并在证据较少时仍应用原始 ASR 中具体的低置信度表达倾向，而非替换为中性模板；同时支持一次模型 JSON 包装恢复，在两阶段固定同一服务配置与 45 秒预算，并区分主动取消和请求超时。
 - **Durable Apple account sessions**: persist refresh operation identifiers before token rotation, reliably store and validate Apple user identifiers, require one-time reauthentication for unverifiable legacy sessions, and prevent failed Keychain deletion or concurrent account work from restoring a revoked login. / **可靠 Apple 账号会话**：在令牌轮换前持久化刷新操作标识，可靠存储并验证 Apple 用户标识，为无法验证的旧会话执行一次重新认证，并防止 Keychain 删除失败或并发账号操作恢复已撤销的登录态。
 - **Account sign-in presentation**: use the concise reward message consistently and keep a uniform app surface beneath translucent Apple authorization sheets. / **账号登录呈现**：统一使用精简的积分奖励文案，并在半透明 Apple 授权弹窗下保持一致的 App 背景。
 - **Recommended hotword details**: label Home recommendations by their actual source, render suggestion chips in adaptive monochrome, remove internal usage counts from dictionary rows, and anchor the iPhone confirmation popover to the selected hotword. / **推荐热词详情**：按真实来源标记首页推荐词，以自适应黑白配色显示推荐标签，移除词库列表中的内部使用次数，并让 iPhone 确认弹窗指向所选热词。